High Performance and Grid Computing with Multi-Channel Data Distributor Quality of Service

A multi-channel QoS system with a master scheduler optimizes data processing across subclusters, addressing inefficiencies in existing HPC and grid computing systems by dynamically allocating tasks and maintaining quality of service, thereby enhancing resource utilization and reducing processing time.

US20260195511A1Pending Publication Date: 2026-07-09SAUDI ARABIAN OIL CO
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
SAUDI ARABIAN OIL CO
Filing Date
2025-01-06
Publication Date
2026-07-09

AI Technical Summary

Technical Problem

Existing distributed memory HPC and grid computing systems lack proper quality of service (QoS) control due to limitations in communication libraries and interconnects, leading to inefficiencies such as job resubmission and misdistribution of workloads, which wastes computational resources and increases processing time.

Method used

Implementing a multi-channel quality of service (QoS) in a data processing system with a master scheduler that dynamically allocates data processing tasks across subclusters, ensuring efficient utilization and maintaining QoS by establishing communication channels between idle publishing nodes and processor nodes.

Benefits of technology

Enhances cluster utilization and reduces processing time by dynamically distributing data processing tasks, maintaining QoS, and optimizing resource allocation in high-performance computing environments.

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Abstract

A new and improved technique for computerized processing of data for exploration and production of hydrocarbons and reservoir simulations that includes a multi-channel quality of service (QoS) in a group of high performance computing (HPC) clusters (which may collectively be referred to as a “data processing system”). The data processing system may be logically segregated into several logical subclusters and may have several publisher nodes, controlled by a master scheduler, serving several groups of processor nodes (the subscriber nodes) that execute different processing applications independently of each other. Multiple datawriters (DW) may send data through multiple channels of compute nodes, whenever there is a free master node. The multi-channels are established and take place as part of the multi-channel quality of service (QoS) settings.
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